The Manila Times

WiMi Develops Quantum Convolutional Neural Network Model for Classical Data Classification

WiMi Hologram Cloud Inc. (NASDAQ: WIMI) ('WIMI' or the 'Company'), a leading global Hologram Augmented Reality ('AR') Technology provider, has completed systematic benchmark testing on fully ...

Engineers test, validate novel method to improve pharmaceutical research and development

A patent-pending innovation created and validated in Purdue University's College of Engineering could strengthen ...
Purdue University

Purdue engineers test, validate novel method to improve pharmaceutical R&D

A patent-pending innovation created and validated in Purdue University’s College of Engineering could strengthen ...
EurekAlert!

Time for an AI checkup: Flaw found in machine learning for sepsis treatment

Computer scientists urge a fundamental shift in how problems are formulated in reinforcement learning for healthcare ...
IEEE

A Comprehensive Survey of EEG Preprocessing Methods for Cognitive Load Assessment

Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly influences subsequent EEG ...
Scientific Research Publishing

Seismic Multiple Attenuation Method Based on Spectral Subtraction and Convolutional Dual Attention Mechanism ()

1 College of Science, Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. Multiple reflections in seismic exploration data ...
Frontiers

Robust automated preclinical fMRI preprocessing via a multi-stage dilated convolutional Swin Transformer affine registration

Accurate preprocessing of functional magnetic resonance imaging (fMRI) data is crucial for effective analysis in preclinical studies. Key steps such as denoising, skull-stripping, and affine ...
IEEE

Exploring the Preprocessing of a Time-Series Healthcare Administrative Dataset on Deep Learning to Improve Prediction

Abstract: Preprocessing methods are important in enhancing prediction performance for time-series administrative data. This study underscores the importance of preprocessing methods by comparing two ...